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Senior Data Engineer, Microsoft Fabric - 6 month contract-(Hybrid)

Central1Resources Open
Vancouver Toronto Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Central1Resources. Vancouver · full-time · no salary stated · we estimate CA$107,500–CA$153,000.

Estimated pay

Central1Resources has not published a salary for this role. The figure below is our estimate, not theirs.

CA$107,500 – CA$153,000
What the middle half of senior data engineering roles in Vancouver paid, among postings that did state a salary.
Worked out from 9 postings that stated pay, median CA$135,500. Last updated Nov 10, 2026.
RoleData Engineering
SenioritySenior
LocationVancouver
EmploymentFull-time
PostedOct 26, 2026
Also hiring inToronto
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build data pipelines across OneLake, Fabric Lakehouse, Fabric Data Warehouse, Azure Data Factory and Azure components
  • Develop and tune ELT and ETL workflows with SQL, dbt, PySpark, Spark Notebooks and Fabric Data Pipelines
  • Guide Fabric engineering work and mentor others while aligning delivery with architecture standards
  • Turn stakeholder needs into scalable solutions, using Medallion layers and dimensional models based on Kimball principles
  • Set governance, security, lineage, monitoring and compliance practices, while improving Fabric capacity and Power BI models

What you bring

  • At least two years delivering enterprise solutions hands-on with Microsoft Fabric
  • Eight or more years working in data engineering
  • Strong command of Fabric components, Azure data services, Spark, PySpark and SQL
  • Experience designing enterprise ELT and ETL workflows and applying Fabric governance, access controls, lineage and performance tuning
  • Working experience with Azure DevOps, Git and transformation frameworks such as dbt

Who this fits

This senior role suits an experienced engineer who can lead Microsoft Fabric platform work and mentor colleagues. It is a six-month contract based in Vancouver with a hybrid arrangement.

From the employer

Central 1 cooperatively empowers credit unions and other financial institutions to deliver banking choice to Canadians. Central 1 provides critical services at scale to enable a thriving credit union system. We do this by collaborating with our clients, developing strategies, products and services to support the financial well-being of their more than 5 million diverse customers in communities across Canada. For more information, visit www.central1.com.

Job Summary:


Central 1 is seeking a highly experienced Senior Data Engineer and Microsoft Fabric Subject Matter Expert (SME) to lead the design, implementation, and optimization of enterprise-scale data platforms within the Microsoft Fabric ecosystem.

This role will drive Microsoft Fabric adoption leveraging OneLake, Lakehouse, Data Warehouse, Data Factory and Power BI technologies.


What you'll be doing:



  • Design and build scalable Pipelines using OneLake, Fabric Lakehouse, Fabric Data Warehouse, ADF and Azure Components.
  • Provide technical leadership and mentorship on Microsoft Fabric engineering, working closely with the Architecture team to ensure alignment with architectural standards and platform best practices.
  • Develop and optimize ELT/ETL pipelines using SQL, dbt, PySpark, Spark Notebooks and Fabric Data Pipelines.
  • Collaborate closely with Data Architects, Product Owners, Business Stakeholders, and Analytics teams to translate business requirements into scalable technical solutions.
  • Implement Medallion Architecture (Bronze, Silver, Gold).
  • Establish governance, security, lineage, monitoring and compliance standards.
  • Optimize Fabric capacity utilization and performance.
  • Design and support enterprise semantic models and Power BI integrations.
  • Implement CI/CD using Azure DevOps and Git.
  • Design and implement dimensional data models using Kimball modelling principles.

What you'll have:


  • 2+ years of hands-on Microsoft Fabric experience delivering enterprise-scale solutions.
  • 8+ years of Data Engineering experience.
  • Deep expertise with OneLake, Fabric Lakehouse, Fabric Data Warehouse, Azure Data Factory, Spark, PySpark and SQL.
  • Strong enterprise ELT/ETL design experience.
  • Experience with Fabric governance, RBAC, lineage, monitoring and performance optimization.
  • Azure data ecosystem experience.
  • Strong Azure DevOps and Git experience.
  • Experience with transformation frameworks such as dbt.


Preferred Qualifications:


  • DP-700 (Microsoft Certified: Fabric Data Engineer Associate) Fabric certification.
  • Power BI semantic models expertise.
  • Financial Services experience.



Pay rate: $85.00-$100.00 based on a 40 hour work week



The pay rate represents the job rate determined for the successful candidate who is fully competent in the role. The actual salary will vary depending on market conditions and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training.





Central 1 does not use Artificial Intelligence (AI) technology to screen, assess, or select applicants during our recruitment process. This job posting is for an existing, specific vacancy within our organization. All applications will be considered exclusively for the position described in this posting.

Central 1 is an equal opportunity employer and committed to building an inclusive workforce by creating an environment where everyone feels like they belong and has the opportunity to be successful. We welcome all applicants to join our diverse workforce and we will provide an accessible candidate experience including, but not limited to accommodations to interview sites and alternate formats upon request to our Recruitment team.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.